Statistical estimation of S-N curves for structural carbon steels using their static mechanical properties

被引：0

作者：

Mukoyama, Kazutaka ^{[1
]}

Hanaki, Koushu ^{[2
]}

Okada, Kenji ^{[3
]}

Sakaida, Akiyoshi ^{[4
]}

Nakamura, Yuki ^{[5
]}

Sugeta, Atsushi ^{[6
]}

Nishikawa, Izuru ^{[7
]}

Ueno, Akira ^{[8
]}

Sakai, Tatsuo ^{[8
]}

机构：

[1] Graduate School of Engineering, University of Hyogo, Shosha, Himeji,671-2280, Japan

[2] Graduate School of Engineering, Osaka University, Yamadaoka, Suita,565-0871, Japan

[3] Department of Mechanical Engineering, Kagawa National College of Technology, Chokushi-cho, Takamatsu,761-8058, Japan

[4] Department of Mechanical Engineering, Akashi National College of Technology, Uozumi-cho, Akashi,674-8501, Japan

[5] Department of Mechanical Engineering, Toyota National College of Technology, Eisei-cho, Toyota,471-8525, Japan

[6] Graduate School of Engineering, Hiroshima University, Kagamiyama, Higashi-hiroshima,739-8527, Japan

[7] Faculty of Engineering, Osaka Institute of Technology, Asahi-ku,Osaka,535-8585, Japan

[8] College of Science and Engineering, Ritsumeikan University, Nojihigashi, Kusatsu,525-8577, Japan

来源：

Zairyo/Journal of the Society of Materials Science, Japan | 2015年 / 64卷 / 06期

关键词：

Regression analysis - Building materials - Carbon steel;

D O I：

10.2472/jsms.64.479

中图分类号：

学科分类号：

摘要：

A statistical estimation method of S-N curve for structural carbon steels using their static mechanical propertieswas proposed. Firstly, S-N data series for pure iron and structural carbon steels were extracted from Database on Fatigue Strength of Metallic Materials published by the Society of Materials Science, Japan (JSMS) and S-N curve for each material was obtained by using the JSMS standard; Standard Evaluation Method of Fatigue Reliability for Metallic Materials -Standard Regression Method of S-N Curve-. Secondly, correlations between regression parameters and static mechanical properties were investigated. As a result, the relationships between regression parameters and static mechanical properties (e.g. fatigue limit E and static tensile strength σB) have showed significant correlations.Based on these correlations, S-N curves for structural carbon steels were successfully predicted from their static mechanical properties. Moreover, using the distribution of fatigue limit E, the percentile points for the predicted S-N curve were also estimated. It was finally confirmed that 81% of S-N data series fall within the range of estimated interval between -3s and +3s, where s means a standard deviation. © 2015 The Society of Materials Science.

引用

页码：479 / 485